package com.jianying.day05;

import com.jianying.beans.WaterSensor;
import com.jianying.func.WaterSensorMapFunction;
import org.apache.commons.lang3.time.DateFormatUtils;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.datastream.WindowedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;

/**
 * ClassName: Flink04_Window_reduce
 * Package: com.atguigu.day05
 * Description:
 *
 * @Author: tubage
 * @Create: 2024/4/3 14:24
 * @Version: 1.0
 */
public class Flink07_Window_process {
    public static void main(String[] args) throws Exception {
        // TODO 开滚动处理时间窗口，使用reduce对窗口中元素进行聚合
        // 取出最近10s中每个传感器采集到的数据
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        DataStreamSource<String> socketDS = env.socketTextStream("localhost", 8888);
        SingleOutputStreamOperator<WaterSensor> wsDS = socketDS.map(new WaterSensorMapFunction());

        // TODO 按照ID 分组
        KeyedStream<WaterSensor, String> keyByDS = wsDS.keyBy(ws -> ws.getId());

        // TODO 开窗 滚动处理时间窗口，大小10s
        WindowedStream<WaterSensor, String, TimeWindow> windowDS = keyByDS.window(
                TumblingProcessingTimeWindows.of(Time.seconds(10))
        );

        // TODO 对窗口中的数据进行聚合计算 process  全量
        SingleOutputStreamOperator<String> processDS = windowDS.process(
                new ProcessWindowFunction<WaterSensor, String, String, TimeWindow>() {
                    @Override
                    public void process(String s, ProcessWindowFunction<WaterSensor, String, String, TimeWindow>.Context context,
                                        Iterable<WaterSensor> elements, Collector<String> out) throws Exception {
                        long count = elements.spliterator().estimateSize();
                        String windowStart = DateFormatUtils.format(context.window().getStart(), "yyyy-MM-dd HH:mm:ss");
                        String windowEnd = DateFormatUtils.format(context.window().getEnd(), "yyyy-MM-dd HH:mm:ss");
                        out.collect("key=" + s + "的窗口[" + windowStart + "," + windowEnd + ")包含" + count + "条数据===>" + elements.toString());
                    }
                }
        );


        // TODO 打印输出
        processDS.print();

        env.execute();
    }
}
